CN109313437B - Operation information analysis device - Google Patents

Operation information analysis device Download PDF

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Publication number
CN109313437B
CN109313437B CN201680086160.XA CN201680086160A CN109313437B CN 109313437 B CN109313437 B CN 109313437B CN 201680086160 A CN201680086160 A CN 201680086160A CN 109313437 B CN109313437 B CN 109313437B
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information
information analysis
database
devices
event
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CN109313437A (en
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青田浩美
岩崎润也
普拉迪帕·韦维塔
园田隆
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Mitsubishi Power Ltd
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Mitsubishi Hitachi Power Systems Ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0267—Fault communication, e.g. human machine interface [HMI]
    • G05B23/0272—Presentation of monitored results, e.g. selection of status reports to be displayed; Filtering information to the user
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
    • G05B23/0216—Human interface functionality, e.g. monitoring system providing help to the user in the selection of tests or in its configuration
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
    • G05B23/0235—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0286—Modifications to the monitored process, e.g. stopping operation or adapting control
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G06F16/2358—Change logging, detection, and notification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2477—Temporal data queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification

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  • Databases & Information Systems (AREA)
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Abstract

The operation information analysis device is provided with: an information collection unit (11) that collects event information generated during operation of a device (20) that includes a plurality of devices (21); an information analysis unit (12) that collates the collected event information and generates and accumulates index values for evaluating the operating state of the device (20); and an information presentation unit (13) that presents the index value accumulated by the information analysis unit (12) to the user, wherein the information analysis unit (12) generates the index value for each period divided based on a change in the operating state of the device.

Description

Operation information analysis device
Technical Field
The present invention relates to an operation information analysis device.
Background
For example, patent document 1 discloses an operation state analysis system that analyzes the operation state of a device connected to a distributed field control system, collects information on a control state of the device or an operation on the device, calculates an index value related to the degree of utilization of the device from the information, and performs comparative analysis of the degree of utilization of the device among a plurality of sites based on the index value.
Prior art documents
Patent document
Patent document 1: japanese patent laid-open publication No. 2010-44780
Disclosure of Invention
Problems to be solved by the invention
However, for example, in the case of a change in the operating state such as a change in the operating load of the equipment included in the generation device or a change in the type of fuel used in the equipment, the generation status of the processing amount and event information of the equipment to be monitored also changes.
The present invention has been made in view of the above problems, and an object thereof is to provide types of operation information analysis devices capable of more accurately evaluating the operation status of the devices.
Means for solving the problems
In order to solve the above problems and achieve the object, the present invention is characterized by comprising: an information collection unit that collects event information generated during operation of an apparatus including a plurality of devices; an information analysis unit that collates the collected event information and generates and accumulates an index value for evaluation of the operating state of the device; and an information presentation unit that presents the index value stored in the information analysis unit to a user, wherein the information analysis unit generates the index value for each period divided based on a change in the operating state of the device.
In the operation information analysis device according to the present invention, event information generated during operation of the device is collated for each period divided based on a change in the operation state of the device, an index value used for evaluation of the operation state of the device is generated and accumulated, and the accumulated index value is presented to a user. Thus, the user can confirm the index values of the devices that are generated and presented by being divided every time the operating state of the device changes. Therefore, according to the operation information analysis device of the present invention, the operation state of the device can be evaluated more accurately.
In addition, it is preferable that the change in the operation state is a change in the load of any of the devices, and thus, the index value can be more accurately evaluated from a change in the load of any of the devices.
In addition, it is preferable that the change in the operation state is a change in the type of fuel used in any of the facilities, and thus, the index value can be more accurately evaluated from a change in the type of fuel used in any of the facilities.
Preferably, the event information includes information on an alarm of the device, information on an operation of the equipment, information on an operation state of the equipment, and information on an alarm of the operation information analysis device, the information analysis unit classifies according to a type of the event information, and generates and accumulates the index value, and the information presentation unit presents the index value classified according to the type of the event information to the user. In this way, the user can easily evaluate the operating state of the device by classifying the index values according to event information about the device, such as an alarm, the operation of the device, and the operating state of the device, and presenting the index values to the user.
Preferably, the information analysis unit classifies the index values according to the types of the devices, and generates and accumulates the index values, and the information presentation unit presents the index values classified according to the types of the devices to the user. In this way, by classifying the index values for each device included in the apparatus and presenting them to the user, the user can easily evaluate the operating state of the apparatus.
Further, it is preferable that the information presentation unit presents the index value for each period arbitrarily divided by the user. This makes it possible to present only the index value in the period that the user wants to confirm, and therefore the user can easily evaluate the operating state of the device.
Preferably, the information collection unit collects a processing amount of the device, the information analysis unit generates and accumulates data that corresponds to the event information and a behavior of the processing amount related to the event information, and the information presentation unit presents the data accumulated by the information analysis unit to the user. This allows the user to easily grasp the behavior of the processing amount related to the occurrence of an event such as an alarm. As a result, the cause of the event can be analyzed more efficiently.
Further, when the update or repair of the device is performed, the information analysis unit may temporarily stop accumulation of the index value relating to the updated or repaired device, and may newly generate and accumulate the index value. Thus, by updating or repairing the device, it is possible to easily compare the effects of what influences the operating conditions of the apparatus, and to easily evaluate the merits before and after the updating or repairing of the device.
Further, when the update or repair of the device is performed, the information analysis unit may temporarily stop the storage of the data relating to the updated or repaired device, and newly generate and store the data. Thus, before and after the update or repair of the device, the behavior of the relevant processing amount at the time of the occurrence of the event can be compared. Therefore, the cause of occurrence of the event can be analyzed more efficiently.
Effects of the invention
The operation information analysis device according to the present invention has an effect of being able to evaluate the operation state of the device more accurately.
Drawings
Fig. 1 is a block diagram illustrating an operation information analysis device according to embodiment .
Fig. 2 is an explanatory diagram showing examples of the event information acquired by the information collection unit.
Fig. 3 is an explanatory diagram showing changes in the load of the generator according to the passage of time.
Fig. 4 is an explanatory diagram showing an example of the database of index values generated by the information analysis unit.
Fig. 5 is an explanatory diagram showing examples of the analysis results presented by the information presentation section.
Fig. 6 is an explanatory diagram showing examples of the analysis results presented by the information presentation section.
Fig. 7 is an explanatory diagram showing examples of the analysis results presented by the information presentation section.
Fig. 8 is an explanatory diagram showing examples of the analysis results presented by the information presentation section.
Fig. 9 is an explanatory diagram showing examples of the analysis results presented by the information presentation section.
Fig. 10 is an explanatory diagram showing examples of the analysis results presented by the information presentation section.
Fig. 11 is an explanatory diagram showing examples of the analysis results presented by the information presentation section.
Fig. 12 is a block diagram illustrating an operation information analysis device according to a second embodiment.
Fig. 13 is an explanatory diagram showing examples of the correspondence between event information and the amount of processing related to the event information.
Fig. 14 is an explanatory diagram showing examples of analysis results of the events information and the behavior of the related processing amount.
Fig. 15 is a block diagram illustrating an operation information analysis device according to a third embodiment.
Detailed Description
Hereinafter, an embodiment of the operation information analysis device according to the present invention will be described in detail with reference to the drawings. In addition, the invention is not limited to this embodiment.
[ th embodiment ]
Fig. 1 is a block diagram showing an operation information analysis device according to an th embodiment, an operation information analysis device 10 is a system for analyzing an operation state of a device 20 such as a power generation plant and presenting the analysis result to a user, the user is a manufacturer, a seller, or an operator who actually operates the device 20, the device 20 is provided with a plurality of devices 21 including a power generator 21g and a control device 22 for controlling the plurality of devices 21, the plurality of devices 21 are devices (for example, a gas turbine, a steam turbine, etc.), a pump, a fan, various valve devices, etc. for driving the power generator 21g, the control device 22 controls a processing amount p of the devices 21, and the control device 22 also functions as a storage unit for storing various event information generated during operation of the device 20.
The operation information analysis device 10 includes: an information collection unit 11 that communicates with the control device 22 and collects event information X of the device 20; an information analysis unit 12 that organizes the event information X of the device 20 collected by the information collection unit 11, and generates and accumulates a database Y of a plurality of index values for use in evaluating the operating state of the device 20; the information presentation unit 13 presents the database Y of the index values generated by the information analysis unit 12 to the user as the analysis result Z.
The information collection unit 11 can communicate with the control device 22 via a network, and automatically acquires and stores the event information X of the device 20 from the control device 22 at a predetermined period (for example, every hour, every day, etc.). However, the information collection unit 11 may acquire the event information X of the device 20 stored in the control device 22 manually by a user via a storage medium such as a DVD-ROM, for example.
The event information X generated during the operation of the apparatus 20 includes information on an alarm generated by each device 21 of the apparatus 20, information on the operation state of each device 21, and information on the operation of each device 21 (see fig. 4). The information on the operation of each apparatus 21 includes information on the operation of each apparatus 21 and information on the adjustment operation of each apparatus 21. The event information X also includes information related to a system alarm generated by the operation information analysis device 10.
The information on the alarm generated by each device 21 includes information on a failure or abnormality of each device 21, an alarm issued when the processing amount P of each device 21 exceeds a control management value, and the like. In the present embodiment, the case of issuing an alarm is defined as "generation", and the case of stopping an alarm is defined as "recovery".
In the present embodiment, of the start/stop operations (start instruction or stop instruction, or open instruction or close instruction) are performed for each of the devices 21 is defined as "ON" and another of the start/stop operations are defined as "OFF" for each of the devices 21.
The information on the operation of each plant 21 includes information on any operation instruction other than the start/stop of each plant 21 and the change of the operation mode. The operation of each apparatus 21 includes, for example, the following operations: the set values for control regarding the process amount P such as the flow rate, pressure, and temperature, which are the operation targets, are changed for each plant 21. The operation of each device 21 is mainly performed by an Operator (Operator). The information on the adjustment operation of each device 21 includes information on an operation instruction related to logic on control of each device 21. The adjustment operation of each device 21 includes, for example, an operation of changing parameter values for control of each device 21, such as a set value of a response speed and a set value of a gain with respect to an input value and a detection value, during control. The adjustment operation of each apparatus 21 is mainly performed by a maintenance person.
The information on the system alarm generated by the operation information analysis device 10 includes, for example, information on an alarm that is issued when the communication between the control device 22 and the information collection unit 11 is interrupted, when any abnormality occurs in the operation information analysis device 10, or the like.
Fig. 2 is an explanatory diagram showing examples of the event information X acquired by the information collection unit 11, and as shown in the drawing, information on the time when the event occurs, a preset type code of the device 21 where the event occurs, a message as a specific content of the event, and other information related to the event (for example, information on a device hierarchy to which the corresponding device 21 belongs) are included as the event information X, and in fig. 2, as examples of the message, specific contents of an alarm generated in the device 21 are shown.
The information analysis unit 12 acquires the event information X from the information collection unit 11, and generates and accumulates a database Y of a plurality of index values for each period divided based on the operating state of the device 20. Here, in the present embodiment, the change in the operating state of the device 20 refers to a change in the operating load of the generator 21g and a change in the type of fuel used in the equipment 21 (for example, a gas turbine, a steam turbine, or the like) for driving the generator 21 g.
The change in the operating load of the generator 21g varies according to the state of the generator 21g during the starting process, the rated operation process, the partial load operation process, the minimum load operation process, the stopping process, and the stopping of the generator 21 g. The starting process is, for example, a process in which the generator 21g is operated at an output of 35% or less of the rated load until a predetermined time elapses without output variation. The rated operation process is a process in which the generator 21g is operated at an output of 90% or more of the rated load, for example. The partial load operation process is a process in which the generator 21g is operated at an output of 40% or more and less than 90% of the rated load, for example. The minimum load operation process is, for example, a process in which the generator 21g is operated at an output of less than 40% of the rated load. The stop process is a process in which the generator 21g is operated at an output of 5% or more and less than 35% of the rated load and until the operation of the generator 21g is stopped. The stop is a state in which the operation of the generator 21g is stopped.
Fig. 3 is an explanatory diagram showing changes in the load of the generator 21g over time, the horizontal axis of fig. 3 is the date and the vertical axis is the load of the generator 21g, the range surrounded by the broken line in fig. 3 is the period of the starting process of the generator 21g, and the range surrounded by the two-dot chain line is the period of the normal operation process (any of the rated operation process, the partial load operation process, and the minimum load operation process) of the generator 21g, as shown in the drawing, the load of the generator 21g differs among the processes, and when such a change in the operation load of the generator 21g occurs or the type of fuel used in the equipment 21 for driving the generator 21g changes, the tendency of various events occurring in the equipment 20 also easily changes, and therefore, by dividing the period of the database Y for generating the index value according to the change in the operation load of the generator 21g and the change in the type of fuel used, it is possible to more accurately evaluate the operation state of the equipment 20 according to the index value.
Fig. 4 is an explanatory diagram showing an example of the database Y of index values generated by the information analysis unit 12. The index value database Y is generated by classifying the index values according to the type of the event information X. The types of the event information X refer to information on alarms generated by the respective devices 21 of the apparatus 20, information on the operating states of the respective devices 21, information on the operating operations of the respective devices 21, information on the adjustment operations of the respective devices 21, and information on system alarms generated by the operating information analyzing device 10, as described above. The classification according to the type of the event information X is not limited to this.
The information analysis unit 12 classifies the types of the devices 21 and generates a database Y of index values. In the present embodiment, a database Y of index values classified according to the type of each device 21 is generated for information on the operating state of each device 21. The information analysis unit 12 classifies the devices according to, for example, pumps, fans, valves, and the like included in the device 20, and generates a database Y of index values for information on the operating state of the device 21. The information analysis unit 12 may classify the information on the alarm, the information on the operation, and the information on the adjustment operation according to the type of each device 21 to generate the database Y of the index value.
Next, specific contents of the index value will be described. The information analysis unit 12 generates a database Y of the frequency of occurrence (total number of occurrences) of alarms, the order of occurrence and recovery of alarms according to time series, the interval of occurrence of each alarm, the length of time for occurrence of each alarm, and the like, as index values related to alarms of the equipment 21. Further, the information analysis unit 12 generates a database Y in which the number of the first 30 types of alarms is extracted in descending order of the occurrence frequency (total number of occurrences) of the alarms.
The information analysis unit 12 generates a database Y of the frequency of start/stop of each plant 21 (the total number of start/stop operations), the order of start/stop of each plant 21 according to the time series, the start/stop interval of each plant 21, the time length of each operating state of each plant 21 (ON state, OFF state, or operating state in each operating mode), and the like as index values related to the operating state of the plant 21. In addition, the information analysis unit 12 generates a database Y in which the number of first 30 pieces of information is extracted in order of the number of start-stop frequencies (total number of start-stop operations) of each device 21.
The information analysis unit 12 generates, as the index value relating to the operation of the plant 21, a database Y of the operation frequency (the total number of operation instructions) for the plant 21, the order of the operation of the plant 21 in time series, the number of times of change of the set value in the control relating to the throughput P of the plant 21, the order of change of the set value in time series, the transition of the operation frequency, and the like. Further, the information analysis unit 12 generates a database Y in which the number of the first 30 types is extracted in the order of the number of the operation frequencies (the total number of the operation instructions).
The information analysis unit 12 generates a database Y of the frequency of adjustment operations (the total number of operation instructions) on the device 21, the order of adjustment operations on the device 21 in time series, the number of times of parameter changes in control of the device 21, the order of parameter changes in time series, and the like, as index values related to the adjustment operations on the device 21.
The information analysis unit 12 generates a database Y of the frequency of occurrence (total number of occurrences) of alarms, the order of occurrence and recovery of alarms according to a time series, the occurrence interval of each alarm, the length of time for which each alarm occurs, and the like, as an index value relating to the system alarm generated by the operation information analysis device 10.
The information presentation unit 13 converts the database Y of index values acquired from the information analysis unit 12 into data usable in a table calculation application or the like of an externally connected personal computer, not shown, and transmits the converted data to the personal computer as an analysis result Z of the operating state of the device 20. The user can browse the analysis result Z via the personal computer. The operation information analysis device 10 may have a monitor for displaying the analysis result Z, and the information presentation unit 13 may display the analysis result Z on the monitor.
In the present embodiment, the information presentation unit 13 presents the database Y of index values as the analysis result Z for each period arbitrarily divided by the user and for each type of event information X arbitrarily selected by the user or for each type of device 21. Further, in the present embodiment, the information presentation unit 13 presents, as the analysis result Z, the database Y corresponding to the request from the user among the databases Y of index values. An example of the analysis result Z presented by the information presentation unit 13 will be described below.
Fig. 5 to 11 are explanatory diagrams showing examples of the analysis result Z presented by the information presentation unit 13, the example of the analysis result Z of fig. 5 shows the start/stop order according to the time series according to the kind of the equipment 21 arbitrarily selected by the user, the date and time of starting and stopping the equipment 21 is displayed in the column of "time" , the kind code of the equipment 21 is displayed in the column of "tag" , and the name of each equipment 21 and the specific contents of the start/stop operation (start instruction or stop instruction, open instruction or close instruction of the valve device) are shown in the column of "message" .
In the example shown in fig. 6, the column "" for 2016, 5, and 7 days "message" shows the number of times the start/stop operation corresponding to "ON" defined for each device 21, the column "data number 1" shows the number of times the start/stop operation corresponding to "ON" defined for each device 21 is performed, the column "data number 2" shows the number of times the start/stop operation corresponding to "OFF" defined for each device 21 is performed, and the column "" shows the total number of "ON" and "OFF" in total, so that the user can easily grasp which of the plurality of devices 21 the start/stop operation is performed in a period arbitrarily specified by the user.
In fig. 7, the column "Tag" shows the type code of a specific device 21, the column "message" shows the name of the device 21 and the contents of start/stop information, the column "data number 1" shows the number of times of start/stop operations performed according to "ON" defined for each device 21, the column "data number 2" shows the number of times of start/stop operations performed according to "OFF" defined for each device 21, and the column "time" shows the time at which the start/stop of the device 21 is performed, for example, if the column "time" shows the start/stop operations according to "ON" and the start/stop operations according to "OFF" in different character colors, the user can grasp the entire start/stop frequency of the device 21 arbitrarily selected by the user and can easily grasp the timing at which the start/stop operations are performed.
The example of the analysis result Z in fig. 8 also shows, as in fig. 7 , a period arbitrarily divided by the user (for example, 1 month such as 2016 5 months), and the frequency of starting and stopping of each device 21 arbitrarily selected by the user, the columns "tag", "message", "data number 1", and "data number 2" in fig. 8 are the same as the columns in fig. 7, and the column of "ON time total" in fig. 7 shows the total time during which the starting and stopping operation corresponding to "ON" defined for each device 21 is performed, whereby the user can grasp the frequency of starting and stopping of the entire devices 21 arbitrarily selected by the user and the total time during which the starting and stopping operation of the devices 21 is performed, for the period arbitrarily divided by the user.
In the example of fig. 6 to 8, the analysis result Z concerning the frequency of starting and stopping the plant 21 in the period arbitrarily divided by the user is shown, but the period may be divided according to the change of the operation state of the apparatus 20, for example, in every of the starting process of the generator 21g enclosed by the broken line and the rated operation process of the generator 21g enclosed by the two-dot chain line in fig. 3, if the first 30 types of the frequency of starting and stopping the plant 21, the frequency of starting and stopping the plant 21 arbitrarily selected by the user, the timing of the starting and stopping operation, the total time of the starting and stopping operation performed according to "ON", and the like are presented as in fig. 6 to 8 , the user can easily grasp what the starting and stopping operations of the plant 21 occurred in each process are.
The example of the analysis result Z in fig. 9 shows the period divided based ON the change of the operation state of the device 20 and the generation frequency of the user according to the type of the event information X for each period arbitrarily divided by the user, the period is divided into the starting process (from 1 st to 3 th of 5 th), the stopping process and the starting process (from 17 th to 18 th of 5 th) of the generator 21g, the normal operation process (for each month from 5 th to 8 th), the type of the event information X is the total generation number of the first 30 types of alarms of the device 21, the total generation number of the first 30 types of start-stop operations of the device 21, the total generation number of the system alarms generated by the operation information analysis device 10, the total generation number of the first 30 types of alarms, the total generation number of the recovery of the first 30 types of alarms, and the total generation number of alarms including the first 30 types of start-stop operations, the total generation number of the system alarms including the operation information generated by the operation information analysis device 21, the operation information display unit which displays the total generation number of the start-stop operations corresponding to the "ON" corresponding to the first 30 ", the operation of the device 21, the operation information display the operation information indicating the generation frequency of the operation of the generation of the operation of the generation of the system, the generation of the operation of the generation of the operation of.
Further, the presentation of information by the information presentation section 13 is not limited to those based on the tables shown so far. In the example of the analysis result Z in fig. 10, the frequency of start/stop of the plant 21 arbitrarily selected by the user during the starting process of the generator 21g (the period surrounded by the broken line in fig. 3) is shown by a circular diagram. In the example of the analysis result Z in fig. 11, the frequency of starting and stopping the plant 21 arbitrarily selected by the user during the period of the normal operation of the generator 21g (the period surrounded by the two-dot chain line in fig. 3) is shown by a circular diagram. In this way, if the period is divided every time the load of the generator 21g changes, and if the index value such as the frequency of starting and stopping the device 21 in each period is displayed in a circle, the user can easily grasp the rate of events occurring in each period.
As described above, in the operation information analysis device 10 according to the present embodiment, the information analysis unit 12 generates the database Y of the index values in the period divided based on the change in the operation state of the device 20, the database Y of the index values classified and generated according to the event type of the device 20, or the database Y of the index values classified and generated according to the type of the equipment 21. Thereby, the information presentation section 13 can present the database Y of the index values as the analysis result Z in various ways to the user with ease of understanding. As a result, the user can evaluate the operation state and the abnormality sign of the apparatus 20, and can efficiently find unnecessary operation operations, adjust a defective position, and the like in a short time, so that it is possible to more easily conduct research on improvement of the operation of the apparatus 20 and make improvement advice to the operator of the apparatus 20.
As described above, in the operation information analysis device 10, the event information X generated during the operation of the device 20 is sorted into periods divided based on the change in the operation state of the device 20, the index value used for the evaluation of the operation state of the device 20 is generated and accumulated, and the accumulated index value is presented to the user. This enables the user to confirm the index values of the devices 20 that are generated and presented by being divided every time the operating state of the device 20 changes. Therefore, the operation information analysis device 10 can evaluate the operation state of the device 20 more accurately.
The index value can be evaluated more accurately according to the change in the load of the generator 21g, and the change in the operating state may be a change in the load of any devices 21 other than the generator 21 g.
The change in the operating state is a change in the type of fuel used in the plant 21 (e.g., a gas turbine, a steam turbine, etc.) for driving the generator 21 g. Thereby, the index value can be more accurately evaluated according to the change in the kind of fuel used by the equipment 21 for driving the generator 21 g. The change in the operation state may be a change in the type of fuel used in the equipment 21 other than the equipment 21 for driving the generator 21 g.
The event information X includes information on an alarm of the device 20, information on an operation of the equipment 21, information on an operation state of the equipment 21, and information on a system alarm generated by the operation information analysis device 10, the information analysis unit 12 classifies the event information X according to its type to generate an index value, and the information presentation unit 13 presents the index value classified according to the type of the event information X to the user. In this way, by classifying the index values in accordance with the event information X about the apparatus 20 such as an alarm, an operation of the device 21, and an operation state of the device 21 and presenting them to the user, the user can easily evaluate the operation state of the apparatus 20.
Further, the information analysis unit 12 classifies the devices 21 according to their types and generates index values, and the information presentation unit 13 presents the index values classified according to the types of the devices 21 to the user. In this way, by classifying the index values for each device 21 included in the apparatus 20 and presenting them to the user, the user can easily evaluate the operating state of the apparatus 110.
The information presentation unit 13 presents the index value in a period arbitrarily divided by the user. This makes it possible to present only the index value in the period that the user wants to confirm, and therefore the user can easily evaluate the operating state of the device 20.
[ second embodiment ]
Next, an operation information analysis device 10B according to a second embodiment will be described, and fig. 12 is a block diagram showing the operation information analysis device 10B, the operation information analysis device 10B is provided with an information collection unit 11B instead of the information collection unit 11 of the operation information analysis device 10 of , an information analysis unit 12B instead of the information analysis unit 12 of the operation information analysis device 10, and an information presentation unit 13B instead of the information presentation unit 13, and the functions of the information collection unit 11B, the information analysis unit 12B, and the information presentation unit 13B are the same as those of the information collection unit 11, the information analysis unit 12, and the information presentation unit 13 of embodiment except for the following description, and therefore, the description of the overlapping functions will be omitted.
The information collection unit 11B has a function of acquiring the processing amount P of each device 21 from the control device 22 of the apparatus 20 and transmitting the processing amount P to the information analysis unit 12B, in addition to the function of the information collection unit 11 of the -th embodiment, and other functions of the information collection unit 11B are the same as those of the information collection unit 11 of the -th embodiment, and therefore, the description thereof is omitted.
The information analyzer 12B has a function of generating and storing a database Y2 that associates the event information X with the behavior of the processing amount P related to the event information X, in addition to the function of the information analyzer 12 according to the , and other functions of the information analyzer 12B are the same as those of the information analyzer 12 according to the , and therefore, the description thereof will be omitted.
Fig. 13 is an explanatory diagram showing examples of the correspondence between the event information X and the processing amount P related to the event information X, in the example shown in fig. 13, specific contents of the type code, the name, and the start/stop operation of the plant 21 are displayed in the column of the "event information X", and specific contents of the processing amount P related to the start/stop operation of the plant 21 (hereinafter referred to as the "related processing amount P") are displayed in the column of the "related processing amount P".
In the present embodiment, the correspondence relationship between the event information X and the correlation processing amount P, which is examples shown in fig. 13, is preset by the user and stored in the information analysis unit 12B, however, the correspondence relationship may not be preset, but may be generated at any time in the information analysis unit 12B, in this case, the information analysis unit 12B may be configured to set, as the correlation processing amount P, the processing amount P that changes in behavior in a predetermined period before and after the occurrence time of the event, among the processing amounts P acquired from the information collection unit 11B, and the information analysis unit 12B may be configured to generate and accumulate a database Y2 in which the values of the correlation processing amount P are arranged in time series in a predetermined period before and after the occurrence time of the event information X acquired from the information collection unit 11B, based on the correspondence relationship shown in fig. 13.
As with the presentation of the analysis result Z, the information presentation unit 13B presents the database Y2 corresponding to the behavior of the event information X and the related process amount P accumulated by the information analysis unit 20B to the user as the analysis result Z2., and other functions of the information presentation unit 13B are the same as those of the information presentation unit 13 of embodiment , and therefore, the description thereof is omitted.
Fig. 14 is an explanatory view showing examples of the analysis result Z2 of the behavior of the event information X and the correlation processing amount P, and the example shown in fig. 14 is a graph showing the behavior of the correlation processing amount P in a predetermined period before and after the timing of occurrence of a predetermined event in the device 20, and in fig. 14, the horizontal axis is time and the vertical axis is the value of the correlation processing amount P.
[ third embodiment ]
Next, the operation information analysis device 10C according to the third embodiment will be described. Fig. 15 is a block diagram showing the operation information analysis device 10C. The operation information analysis device 10C includes an information analysis unit 12C instead of the information analysis unit 12B of the operation information analysis device 10B according to the second embodiment. The other configuration of the operation information analyzer 10C is the same as that of the operation information analyzer 10B, and therefore, the description thereof is omitted. Note that, except for the following description, the information analysis unit 12C has the same function as the information analysis unit 12B of the second embodiment, and therefore, redundant description of the function is omitted.
When the update or repair (maintenance) of the device 21 is performed, the information analysis unit 12C temporarily stops the accumulation of the database Y of index values relating to the device 21 subjected to the update or repair, and newly generates and accumulates the database Y of index values. When the update or repair of the device 21 is performed, the information analysis unit 12C temporarily stops the accumulation of the database Y2 that associates the event information X with the behavior of the correlated processing amount P with respect to the device 21 that has performed the update or repair, and newly generates and accumulates the database Y2.
In the present embodiment, the database Y of the index values regarding the updated or repaired devices 21 and the database Y2 of the event information X and the behavior of the correlation processing amount P regarding the updated or repaired devices 21 are set in advance by the user and stored in the information analysis unit 12C. However, the database Y of the index values related to the updated or repaired device 21 and the database Y2 related to the updated or repaired device 21 may be created at any time by the information analysis unit 12C, without being set in advance. In this case, the information analysis unit 12C may set the database Y of index values whose values suddenly change before and after the update or repair of the device 21 and the database Y2 that associates the event information X and the behavior of the correlation processing amount P with each other as the database Y and the database Y2 related to the device 21 that has undergone the update or repair.
Thus, every time the update or repair of the device 21 is performed, the database Y of the index values can be presented to the user in various ways as the analysis result Z with ease of understanding, and the database Y2 of the event information X and the behavior of the relevant processing amount P can be presented as the analysis result Z2. As a result, the user can evaluate the operation state and the abnormality sign of the apparatus 20, and can efficiently find unnecessary operation operations, adjust a defective position, and the like in a short time, so that it is possible to more easily conduct research on improvement of the operation of the apparatus 20 and advice of improvement to the user of the apparatus 20.
Before and after the update or repair of the device 21, the change in the index value can be compared. Therefore, by updating or repairing the device 21, it is possible to easily compare the effects of what influences the operating conditions of the apparatus 20, and to easily evaluate the merits before and after the updating or repairing of the device 21. Before and after the update or repair of the device 21, the behavior of the relevant processing amount P at the time of the occurrence of the event can be compared. Therefore, the cause of occurrence of the event can be analyzed more efficiently. Before and after the update or repair of the device 21, if the occurrence frequency of events is compared with a circular chart shown in fig. 10, for example, the change in the operating state of the apparatus 20 before and after the update or repair of the device 21 can be presented to the user more easily.
When the equipment 21 is updated or repaired (repaired), the information analysis unit 12C may temporarily stop the accumulation of only the database Y of index values relating to the equipment 21 subjected to the update or repair, and newly generate and accumulate only the database Y of index values. In this case, the information collection unit 11B may not have the function of collecting the processing amount P of the device 20, and the information analysis unit 12C may not generate and accumulate the database Y2 that associates the event information X with the behavior of the related processing amount P.
When the update or repair (overhaul) of the device 21 is performed, the information analysis unit 12C may temporarily stop the accumulation of the database Y2 that corresponds to the behavior of the event information X and the related processing amount P with respect to the device 21 that has performed the update or repair, and newly generate and accumulate only the database Y2.
Description of the reference numerals
10. 10B, 10C operation information analysis device
11. 11B information collecting unit
12. 12B, 12C information analysis unit
13. 13B information presenting part
20 device
21 device
21g generator
22 control device
P throughput
X event information
Y, Y2 database
Z, Z2 analyzing the result.

Claims (8)

  1. An operation information analysis device of kinds, comprising:
    an information collection unit that collects event information generated during operation of an apparatus including a plurality of devices and a throughput of the apparatus including the plurality of devices;
    an information analysis unit that collates the collected event information, and generates and accumulates a database serving as an index for evaluating an operating state of the apparatus including a plurality of devices, and data that associates the event information with a behavior of the processing amount related to the event information; and
    an information presentation unit that presents the database and the data stored in the information analysis unit to a user,
    the event information includes information on an alarm of the apparatus including a plurality of devices, information on an operation of the devices, information on an operation state of the devices, and information on an alarm of the present operation information analysis apparatus,
    the information analysis unit generates the database by classifying the event information into categories for each period divided based on a change in the operating state of the apparatus including the plurality of devices,
    the information presentation unit presents the database classified by the type of the event information to the user for each period divided based on a change in the operating state of the apparatus including the plurality of devices,
    the information analysis section sets, as the processing amount related to the event information, a processing amount, of the processing amounts acquired from the information collection section, for which a behavior changes in a given period before and after an occurrence timing of the event.
  2. 2. The operation information analysis device according to claim 1,
    the information analysis unit generates, for each period divided based on a change in the operating state of the apparatus including the plurality of devices, a database of the frequency of occurrence of alarms of the own operating information analysis apparatus, the order of occurrence and recovery of alarms of the own operating information analysis apparatus in time series, the interval of occurrence of alarms of the own operating information analysis apparatus, and the length of time of occurrence of alarms of the own operating information analysis apparatus, as the database of alarms classified as the own operating information analysis apparatus.
  3. 3. The operation information analysis device according to claim 1,
    the change in the operating state is a change in the load of any of the devices.
  4. 4. The operation information analysis device according to claim 1,
    the change in the operation state is a change in the kind of fuel used in any of the devices.
  5. 5. The operation information analysis device according to claim 1,
    the information analysis unit classifies the devices according to their types, generates and accumulates the database,
    the information presentation section presents the database classified by the kind of the device to the user.
  6. 6. The operation information analysis device according to claim 1,
    the information presenting section presents the database for each period arbitrarily divided by the user.
  7. 7. The operation information analysis device according to claim 1,
    when the update or repair of the device is performed, the information analysis unit temporarily stops the accumulation of the database relating to the updated or repaired device, newly generates and accumulates the database,
    the database relating to the apparatus on which the update or repair has been performed is the database whose value changes before and after the update or repair of the apparatus has been performed.
  8. 8. The operation information analysis device according to claim 1,
    when the update or repair of the device is performed, the information analysis unit temporarily stops the storage of the data relating to the updated or repaired device, newly generates and stores the data,
    the data relating to the device on which the update or repair has been performed is the data whose value has changed before and after the update or repair of the device has been performed.
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